Cloud robotics is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with cloud computing infrastructures.

Cloud robotics is a branch of robotics that aims to use cloud technologies including cloud computing, cloud storage, and other Internet technologies to improve robotics through converged infrastructure and shared services. When robots are connected to the cloud, they may take advantage of the modern data center's sophisticated processing, storage, and communication facilities, which can analyse and exchange data from several robots or agents (other machines, smart objects, humans, etc.). Through networks, humans may also outsource duties to robots remotely. Cloud computing technologies allow robot systems to be supplied with sophisticated capabilities while also lowering costs.Thus, it is possible to build lightweight, low-cost, smarter robots with an intelligent "brain" in the cloud.

Many industrial processes such as painting, machining, material handling, welding, and assembling are now being replaced with automated robots. These robots use electrical, mechanical, and software systems to perform the designated task with higher accuracy, speed, and precision, which exceeds human performance. Moreover, automation in industrial robots has been very successful, owing to its high precision and speed in structured factory environments.

One of the major issues regarding cloud robotics is security and privacy concerns. Hosting confidential data with providers of cloud involves the transfer of an organization’s control over data security to the cloud service providers. Every cloud contains considerable information from the client, which includes their personal data.

Deployment of cloud-based robotic systems requires reliable and constant connectivity, regardless of the environment it operates within. Wireless technology offers these solutions and eliminates the need for complex wireline connections to provide communication systems.Moreover, 5G is expected to offer very low latency and is an obvious choice for applications that require high capacity. 5G supports a wider range of requirements such as sub-millisecond latency. For instance, Ericsson has partnered with biomedical companies such as EI.En and Imaginalis for robotic-assisted surgeries and remote diagnosis.